AI-driven project management : harnessing the power of artificial intelligence and ChatGPT to achieve peak productivity and success / Kristian Bainey.

Table of Contents
Title Page
Foreword
Introduction
Who Should Read This Book?
How To Use This Book
Part I: Foundations of AI in Project Management
CHAPTER 1: Introducing ChatGPT: The AI Revolution in Project Management
Evolution of AI
CHAPTER 2: AI-Driven Project Management (PM-AI)
CHAPTER 3: AI-Driven Predictive Approach to Project Management
The Initiating Process Phase
The Planning Process Phase
The Executing Process Phase
The Monitoring and Controlling Process Phase
The Closing Process Phase
The Benefits and Limitations of Using a Predictive Approach in AI
CHAPTER 4: AI-Driven Agile and Hybrid Approaches to Project Management
The Concept Phase
The Initiating Phase
The Planning and Design Phase
The Iterative Development (Sprint and Cycles) Phase
The Release and Transition Phase
The Deployment Phase
AI-Driven Hybrid Approach in Project Management
The Concept and Initiating Phase
The Planning and Design Phase
The Iterative Development and Testing phase
The Deployment and Closing Phase
Benefits and Limitations of Using an Agile or Hybrid Approach
CHAPTER 5: The Implications of AI in Project Management
CHAPTER 6: Navigating Ethical Challenges in PM-AI
Addressing Inclusivity
Accountability
Training Data and Ethical Implications
Transparency and Trust
Part I: Conclusion
Key Takeaways
Thought-Provoking Questions
Multiple Choice Questions
Part II: Unleashing the Power of ChatGPT
CHAPTER 7: Using ChatGPT
The Chat Interface
How Does ChatGPT Work?
CHAPTER 8: Transforming Communication with ChatGPT
Project Inquiries and Faster Information Gathering
Simplifying Internal Communications and Agendas
Documenting and Archiving Communications
CHAPTER 9: Risk, Ethics, Prediction, and Decision Making in AI Projects
Revolutionizing Decision Making with ChatGPT
Risks and Ethics of Using Prediction for Decision Making
Human-in-the-Loop
Part II: Conclusion
Key Takeaways
Thought-Provoking Questions
Multiple Choice Questions
Part III: Mastering Prompt Engineering in Project Management with ChatGPT
CHAPTER 10: Prompt Engineering for Project Managers
What Is Prompt Engineering?
Prompt Engineering: Real-World Use Cases for Project Managers
CHAPTER 11: Unlocking ChatGPT Tips and Tricks
Part III: Conclusion
Key Takeaways
Thought-Provoking Questions
Multiple Choice Questions
Part IV: AI in Action: Practical Applications for Project Management
CHAPTER 12: Accurate Project Forecasting with ChatGPT
CHAPTER 13: Learning and Development Powered by ChatGPT
Personalized Learning
Professional Development and Training
Scalability of Educational Resources
Enhancing Accessibility
CHAPTER 14: AI and Human Talent in Projects: A Harmonious Blend
AI Chatbots in People Management
The Rise of People Soft Skills in PM-AI
Part IV: Conclusion
Key Takeaways
Thought-Provoking Questions
Multiple Choice Questions
Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities
CHAPTER 15: Security and Privacy in AI Model Integration
Strategic Integration of AI in Cybersecurity
AI and Data Security
Ethical Implications and Privacy Concerns
Regulations
CHAPTER 16: AI Strategic Project Management Principles
Eight Principles for Organizational AI Model Integration
CHAPTER 17: Fine-Tuning and Customizing AI Models for Organizational Benefits
Fine-Tuning AI Models for Organizations
Six Layers of the AI Model Development Lifecycle
Key Considerations for First-Time AI Implementation
CHAPTER 18: Realizing ChatGPT's Limitations for Project Management
Limited Analysis of Words per Interaction
Navigating the Do's and Don'ts
Part V: Conclusion
Key Takeaways
Thought-Provoking Questions
Multiple Choice Questions
Part VI: The Future of Project Management and AI
CHAPTER 19: The Future Impact of AI in Project Management and Expertise
The Rise of Multimodals
Areas of Expertise for Project Managers in PM-AI
Moving Forward
Part VI: Conclusion
Key Takeaways
Thought-Provoking Questions
Multiple Choice Questions
Answer Key to Multiple Choice Questions
References
Part I: Foundations of AI in Project Management
Part II: Unleashing the Power of ChatGPT
Part III: Mastering Prompt Engineering in Project Management with ChatGPT
Part IV: AI in Action: Practical Applications for Project Management
Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities
Part VI: The Future of Project Management and AI
Index

Accelerate your next project with artificial intelligence and ChatGPT In AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success, veteran IT and project management advisor Kristian Bainey delivers an insightful collection of strategies for automating the administration and management of projects. In the book, the author focuses on four key areas where project leaders can achieve improved results with AI's data-centric capabilities: minimizing surprises, minimizing bias, increasing standards, and accelerating decision making. You'll also find: Primers on the role of AI and ChatGPT in Agile, Hybrid, and Predictive approaches to project management How to accurately forecast a project with ChatGPT Techniques for crafting impactful AI strategy using AI project management principles Perfect for managers, executives, and business leaders everywhere, AI-Driven Project Management is also a must-read for project management professionals, tech professionals and enthusiasts, and anyone else interested in the intersection of artificial intelligence, machine learning, and project management.

About the Author
KRISTIAN BAINEY, M.S., PMP, CSM, Prosci, ITIL, PM-AI, is an experienced IT and project management professional with over 15 years focusing on digital transformation development in generative AI-Driven Project Management (PM-AI), DevOps, and the SDLC elements of waterfall, agile, and hybrid approaches. He is an expert in directing business and digital transformation, AI, data management, operations, continuous improvement, and change management projects. He manages a consulting corporation specializing in generative AI integration for organizations, lecturing part-time at universities and creating global course content and podcasts. Additionally, he served as the President of the PMI Northern Alberta Chapter (2023-2024), and actively speaks at numerous worldwide conferences on AI/ChatGPT in Project Management.